Summary
Aldo Trejo is a physicist-turned-experimental mathematician and doctoral student at Freie Universität Berlin, applying machine learning to computational biophysics under Prof. Cecilia Clementi. With nine years of experience, he combines strong statistical programming skills in Python and Julia with numerical methods and Monte Carlo simulation expertise. His background includes software engineering in C++/TCL/Java at Altair working on meshing and database issues, and teaching computational physics and algorithms at UNAM. Aldo blends academic rigor from a physics BSc and a master's in mathematics with practical engineering experience, making him adept at turning complex physical models into efficient simulations. He’s multilingual in code and comfortable moving between research, production codebases, and classroom settings—often spotting practical postprocessing improvements that streamline workflows.
9 years of coding experience
1 year of employment as a software developer
Universidad Nacional Autónoma de México (UNAM)